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CLIENT_ID: The client ID of the registered Azure AD application.

Configure these secrets in the GitHub repository settings. The following secrets are required to connect to Dataverse using an Application User configured in Dataverse and in Azure Active Directory (AD).

commit_message (required): Message to provide for the commit.

If not specified, the source_branch is used.

target_branch (optional): Branch to create for the solution commit.

source_branch (required): Branch for the solution commit.

solution_name (required): Name of the solution in the Dataverse environment.

artifact_url (required): The URL of the Dataverse row (record) ID for the artifact created by the pipelines.

The following workflow inputs are required or optional:

push to branch: Pushes the committed changes to the source branch.

commit changes: Commits changes to the existing or new branch.

download solution from artifact: Downloads the solution from the artifact created by pipelines.

create new branch if specified: Creates a new branch if a target_branch is specified in the inputs.The workflow consists of the following steps: The workflow runs on ubuntu-latest and has the contents: write permission to be able to commit changes to the GitHub repository branch. The workflow is triggered via a workflow_dispatch event. When a pipelines deployment is submitted, a cloud flow triggers the GitHub workflow to download, unpack, and commit the artifact's source code to a GitHub branch. This article demonstrates using GitHub Actions and Power Automate cloud flows for extending pipelines in Power Platform.